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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 79.37%
Members: 29 active members (74 total)
Avg. Member Points: 11,645
Total Kills: 365,445
Total Deaths: 297,095
Avg. Kills: 12,602
Kills per Death: 1.23
Kills per Minute: 0.65
Total Connection Time: 392d 06:21:51h
Avg. Connection Time: 13d 12:37:59h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-descending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.90% 16,883 1.93
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 34,115 46d 15:39:47h 68,659 18.79% 31,259 2.20
3  Russian federation⇜Ṧ†êrvå⇝ elorank 9,104 6d 05:15:12h 4,514 1.24% 5,889 0.77
4  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.37% 11,872 0.42
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.43% 15,929 1.48
6  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.85% 1,465 2.12
7  Russian federationИлья190RUS elorank 12,022 3d 09:54:51h 3,603 0.99% 3,106 1.16
8  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.95% 5,572 1.93
9  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.79% 13,411 1.03
10  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.22% 754 1.08
11  Ukrainegusenica elorank 16,088 7d 21:48:36h 8,005 2.19% 6,268 1.28
12  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.29% 775 1.38
13  Russian federationdoc76 elorank 18,822 38d 01:32:04h 24,921 6.82% 24,192 1.03
14  Russian federationavpvovan elorank 9,883 5d 20:26:21h 4,450 1.22% 5,021 0.89
15  Russian federationYota >ヮ< elorank 8,768 2d 07:26:18h 1,319 0.36% 1,780 0.74
16  Russian federationStanislav752 elorank 9,912 14d 07:12:47h 11,813 3.23% 11,184 1.06
17  Russian federationSprut elorank 8,565 1d 23:36:54h 1,583 0.43% 2,059 0.77
18  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,962 3d 07:47:20h 3,154 0.86% 3,318 0.95
19  Russian federationShalfeYka elorank 9,274 1d 14:17:13h 1,386 0.38% 1,397 0.99
20  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.16% 10,412 1.11


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 5,672 times 56,720
2 Pick up the Bomb 25,382 times 50,764
3 Headshot 28,759 times 28,759
4 Domination 3,516 times 17,580
5 Double Kill (2 kills) 11,008 times 11,008
6 Triple Kill (3 kills) 2,774 times 5,548
7 Revenge 1,725 times 5,175
8 Defuse the Bomb 472 times 4,720
9 Domination (4 kills) 503 times 1,509
10 Rampage (5 kills) 56 times 224
11 Mega Kill (6 kills) 2 times 10
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 59 times 0
15 Start Defusing the Bomb With a Defuse Kit 686 times 0
16 Round MVP 17,748 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 13,784 times -27568




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-ascending.gif Points Bonus
1 Revenge 2,065 times -6195
2 Domination 2,794 times -13970




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,353 times 28.66%
2 Counter-Terrorist 2,369 times 20.25%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 22,461 6.15% 11,188 8.20% 0.50
2 Colt M4A1 Carbine 1.00 11,401 3.12% 4,998 3.66% 0.44
3 Steyr Scout 1.10 6,266 1.71% 3,686 2.70% 0.59
4 Desert Eagle .50AE 1.20 5,907 1.62% 3,090 2.27% 0.52
5 Arctic Warfare Magnum (Police) 1.00 2,865 0.78% 449 0.33% 0.16
6 High Explosive Grenade 1.80 2,452 0.67% 0 0.00% 0.00
7 M249 PARA Light Machine Gun 1.20 2,041 0.56% 1,045 0.77% 0.51
8 Bundeswehr Advanced Combat Knife 2.00 1,493 0.41% 2 0.00% 0.00
9 FN P90 1.20 1,386 0.38% 609 0.45% 0.44
10 Sig Sauer P-228 1.50 1,194 0.33% 476 0.35% 0.40
11 Sig Sauer SG-552 Commando 1.00 1,044 0.29% 468 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 814 0.22% 320 0.23% 0.39
13 Dual Beretta 96G Elite 1.40 177 0.05% 84 0.06% 0.47
14 H&K USP .45 Tactical 1.40 148 0.04% 73 0.05% 0.49
15 Ingram MAC-10 1.50 125 0.03% 62 0.05% 0.50
16 Galil 1.10 125 0.03% 52 0.04% 0.42
17 Glock 18 Select Fire 1.40 114 0.03% 53 0.04% 0.46
18 H&K MP5-Navy 1.20 101 0.03% 42 0.03% 0.42
19 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
20 Steyr Aug 1.00 73 0.02% 34 0.02% 0.47
21 Steyr Tactical Machine Pistol 1.50 62 0.02% 33 0.02% 0.53
22 FN Five-Seven 1.50 56 0.02% 27 0.02% 0.48
23 H&K UMP45 1.20 36 0.01% 16 0.01% 0.44
24 Fusil Automatique 1.00 30 0.01% 12 0.01% 0.40
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 677,924 83,299 3,330,946 12,507 24,128 9.7173 12.3% 40.0 28.1
2 Colt M4A1 Carbine 413,315 50,720 1,597,256 5,006 11,412 10.8171 12.3% 31.5 36.2
3 Steyr Scout 50,640 15,398 1,470,013 3,738 6,358 2.6122 30.4% 95.5 8.0
4 Desert Eagle .50AE 64,344 17,130 899,907 3,416 6,290 4.4993 26.6% 52.5 10.2
5 Arctic Warfare Magnum (Police) 11,882 4,081 546,047 456 2,873 5.4620 34.3% 133.8 4.1
6 M249 PARA Light Machine Gun 102,417 7,941 309,684 1,159 2,190 14.6000 7.8% 39.0 46.8
7 FN P90 71,491 7,964 185,980 609 1,386 9.1788 11.1% 23.4 51.6
8 Sig Sauer P-228 29,714 4,852 149,796 476 1,194 24.8750 16.3% 30.9 24.9
9 Sig Sauer SG-552 Commando 76,333 5,289 154,632 481 1,060 42.4000 6.9% 29.2 72.0
10 Benelli M3 Super 90 Combat 3,625 7,297 104,285 320 814 2.3526 201.3% 14.3 4.5
11 Bundeswehr Advanced Combat Knife 21,771 1,361 71,154 2 476 1.7000 6.3% 52.3 45.7
12 Dual Beretta 96G Elite 4,553 869 24,431 84 177 59.0000 19.1% 28.1 25.7
13 H&K USP .45 Tactical 5,354 974 20,337 72 147 7.3500 18.2% 20.9 36.4
14 Galil 3,715 533 17,569 52 125 62.5000 14.3% 33.0 29.7
15 Ingram MAC-10 5,220 874 16,065 61 122 24.4000 16.7% 18.4 42.8
16 Glock 18 Select Fire 5,525 997 17,021 52 112 7.4667 18.0% 17.1 49.3
17 H&K MP5-Navy 4,859 861 14,271 41 99 9.9000 17.7% 16.6 49.1
18 Benelli/H&K M4 Super 90 XM1014 1,452 1,004 11,619 28 79 13.1667 69.1% 11.6 18.4
19 Steyr Aug 2,777 378 11,399 34 73 14.6000 13.6% 30.2 38.0
20 FN Five-Seven 1,310 362 9,723 36 68 22.6667 27.6% 26.9 19.3
21 Steyr Tactical Machine Pistol 3,675 526 9,402 33 62 62.0000 14.3% 17.9 59.3
22 H&K UMP45 2,083 279 5,557 16 35 17.5000 13.4% 19.9 59.5
23 Fusil Automatique 800 152 4,489 11 28 28.0000 19.0% 29.5 28.6
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 83,299 26.8% 59.6% 13.6%
2 Colt M4A1 Carbine 50,720 27.9% 58.9% 13.2%
3 Desert Eagle .50AE 17,130 25.9% 61.5% 12.5%
4 Steyr Scout 15,373 26.5% 64.9% 8.6%
5 FN P90 7,964 28.2% 56.4% 15.5%
6 M249 PARA Light Machine Gun 7,941 27.7% 58.6% 13.7%
7 Benelli M3 Super 90 Combat 7,297 29.0% 57.8% 13.2%
8 Sig Sauer SG-552 Commando 5,289 28.6% 56.1% 15.2%
9 Sig Sauer P-228 4,852 29.3% 57.1% 13.6%
10 Arctic Warfare Magnum (Police) 4,081 32.5% 57.6% 9.9%
11 Benelli/H&K M4 Super 90 XM1014 1,004 27.3% 56.2% 16.5%
12 Glock 18 Select Fire 997 26.6% 60.7% 12.7%
13 H&K USP .45 Tactical 974 24.4% 62.2% 13.3%
14 Ingram MAC-10 874 26.5% 59.0% 14.4%
15 Dual Beretta 96G Elite 869 24.9% 61.2% 13.9%
16 H&K MP5-Navy 861 29.5% 56.2% 14.3%
17 Galil 533 28.1% 55.5% 16.3%
18 Steyr Tactical Machine Pistol 526 26.8% 63.3% 9.9%
19 Steyr Aug 378 28.3% 55.8% 15.9%
20 FN Five-Seven 362 20.4% 65.2% 14.4%
21 H&K UMP45 279 26.2% 53.8% 20.1%
22 Fusil Automatique 152 22.4% 61.2% 16.4%
23 Bundeswehr Advanced Combat Knife 66 19.7% 74.2% 6.1%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%


Targets
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ERROR
Database Error

Server Address: localhost
Server Username: hlstatsxce

Error Diagnostic:
Bad query.

Server Error: (1052) Column 'map' in order clause is ambiguous

Last SQL Query:
		SELECT *, 
			IFNULL(kills/deaths, '-') AS kpd,
			IFNULL(headshots / kills, '-') AS hpk,
			ROUND(kills / 365445 * 100, 2) AS kpercent,
			ROUND(headshots / 136413 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map desc,
			kills desc